EP2674781A2 - Ausgleich von Latenzzeit - Google Patents

Ausgleich von Latenzzeit Download PDF

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Publication number
EP2674781A2
EP2674781A2 EP13171063.4A EP13171063A EP2674781A2 EP 2674781 A2 EP2674781 A2 EP 2674781A2 EP 13171063 A EP13171063 A EP 13171063A EP 2674781 A2 EP2674781 A2 EP 2674781A2
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EP
European Patent Office
Prior art keywords
parameter data
latency
processor
sensor
parameter
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Granted
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EP13171063.4A
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English (en)
French (fr)
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EP2674781B1 (de
EP2674781A3 (de
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Steven B. Krogh
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Boeing Co
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Boeing Co
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Publication of EP2674781A3 publication Critical patent/EP2674781A3/de
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13—Receivers
    • G01S19/14—Receivers specially adapted for specific applications
    • G01S19/15—Aircraft landing systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G01S19/45—Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement
    • G01S19/47—Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement the supplementary measurement being an inertial measurement, e.g. tightly coupled inertial
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G01S19/48—Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system
    • G01S19/49—Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system whereby the further system is an inertial position system, e.g. loosely-coupled
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G01S19/48—Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions

Definitions

  • the subject matter described herein relates to electronic computing and computer-based modeling of real world events, and more particularly to techniques for latency compensation in computer based systems that use inputs from multiple data sources to measure real world system dynamics.
  • GLS Global Navigation Satellite System Landing System
  • CAT commercial air traffic
  • Some automatic landing systems may incorporate outputs from multiple different sensors to determine position and orientation information for an aircraft. The outputs of the different sensors may be subject to latency effects, particularly during maneuvers, which can bias results of the model.
  • a computer-based method to for latency compensation in a dynamic system comprises receiving at least first parameter data from a first sensor and second parameter data from a second sensor, directing the at least first parameter data and the second parameter data into a combining filter, receiving additional parameter data about the dynamic system from at least one additional sensor, constructing a model of latency effects on the first parameter data and the second parameter data, and using the model of latency effects to compensate for latency-based differences in the first parameter data and the second parameter data.
  • a computer-based system for latency compensation in a dynamic system comprises a processor and logic instructions stored in a tangible computer-readable medium coupled to the processor which, when executed by the processor, configure the processor to receive at least first parameter data from a first sensor and second parameter data from a second sensor, direct the at least first parameter data and the second parameter data into a combining filter, receive additional parameter data about the dynamic system from at least one additional sensor, construct a model of latency effects on the first parameter data relative to the second parameter data, and use the model of latency effects to compensate for latency-based differences in the first parameter data and the second parameter data.
  • a computer program product for latency compensation in a dynamic system comprising logic instructions stored in a tangible computer-readable medium coupled to a processor which, when executed by the processor, configure the processor to receive at least first parameter data from a first sensor and second parameter data from a second sensor, direct the at least first parameter data and the second parameter data into a combining filter, receive additional parameter data about the dynamic system from at least one additional sensor, construct a model of latency effects on the first parameter data and the second parameter data, and use the model of latency effects to compensate for latency-based differences in the first parameter data and the second parameter data.
  • a method for latency compensation in a dynamic system 100 including, receiving at least first parameter data from a first sensor 120a and second parameter data from a second sensor 120b, directing the at least first parameter data and the second parameter data into a combining filter, receiving additional parameter data about the dynamic system from at least one additional sensor 122, constructing a model of latency effects 126 on the first parameter data and the second parameter data, and using the model of latency effects 126 to compensate for latency-based differences in the first parameter data and the second parameter data.
  • the method may further include wherein using the model of latency effects 126 to compensate for latency-based differences in the first parameter data and the second parameter data includes: calculating a latency compensation adjustment parameter for at least one of the first parameter data or the second parameter data, and applying the latency compensation adjustment parameter to at least one of the first parameter data or the second parameter data.
  • the method may further include determining, in the combining filter 140, a combined parameter data from the first parameter data and the second parameter data.
  • the method may further include determining, in the combining filter 140, an estimate of the latency compensation adjustment parameter, and providing the estimate of the latency compensation adjustment parameter as feedback to the model of latency effects 126.
  • the method may further include generating, in the combining filter 140, an output which corresponds to the combined parameter data.
  • the method may include wherein constructing a model of latency effects 126 on the first parameter data and the second parameter data includes compensating for position-based differences in motion over time between the first sensor 120a and the second sensor 120b.
  • the method may include wherein the first sensor 120a comprises an inertial measuring system, the second sensor 120b comprises a global positioning system GPS based measuring system, and constructing a model of latency effects 126 on the first parameter data and the second parameter data comprises compensating for time-based differences in motion over time between the first sensor 120a and the second sensor 120b.
  • a computer-based system 200 for latency compensation in a dynamic system 100, including: a processor 222, and logic instructions stored in a tangible computer-readable medium coupled to the processor 222 which, when executed by the processor 222, configure the processor 222 to receive at least first parameter data from a first sensor 120a and second parameter data from a second sensor 120b, direct the at least first parameter data and the second parameter data into a combining filter 140, receive additional parameter data about the dynamic system 100 from at least one additional sensor 122, construct a model of latency effects 126 on the first parameter data and the second parameter data, and use the model of latency effects 126 to compensate for latency-based differences in the first parameter data and the second parameter data.
  • system may further include logic instructions stored in a tangible computer-readable medium coupled to the processor 222 which, when executed by the processor 222, configure the processor 222 to calculate a latency compensation adjustment parameter for at least one of the first parameter data or the second parameter data, and apply the latency compensation adjustment parameter to at least one of the first parameter data or the second parameter data.
  • the computer-based system may further include logic instructions stored in a tangible computer-readable medium coupled to the processor 222 which, when executed by the processor 222, configure the processor 222 to determine, in the combining filter 140, a combined parameter data from the first parameter data and the second parameter data.
  • the computer-based system further includes logic instructions stored in a tangible computer-readable medium coupled to the processor 222 which, when executed by the processor 222, configure the processor 222 to determine, in the combining filter 140, an estimate of the latency compensation adjustment parameter, and provide the estimate of the latency compensation adjustment parameter as feedback to the model of latency effects 126.
  • the computer-based system further includes logic instructions stored in a tangible computer-readable medium coupled to the processor 222 which, when executed by the processor 222, configure the processor 222 to generate, in the combining filter 140, an output which corresponds to the combined parameter data.
  • the computer-based system 200 may include wherein constructing a model of latency effects 126 on the first parameter data and the second parameter data comprises compensating for position-based differences in motion over time between the first sensor 120a and the second sensor 120b.
  • the computer-based system 200 may include wherein the first sensor 120a comprises an inertial measuring system, the second sensor 120b comprises a global positioning system GPS based measuring system, and further comprising logic instructions stored in a tangible computer-readable medium coupled to the processor 222 which, when executed by the processor 222, configure the processor 222 to compensate for time-based differences in motion over time between the first sensor 120a and the second sensor 120b.
  • a computer program product for latency compensation in a dynamic system 100 comprising logic instructions stored in a tangible computer-readable medium coupled to a processor 222 which, when executed by the processor 222, configure the processor 222 to receive at least first parameter data from a first sensor 120a and second parameter data from a second sensor 120b, direct the at least first parameter data and the second parameter data into a combining filter 140, receive additional parameter data about the dynamic system 100 from at least one additional sensor 122, construct a model of latency effects 126 on the first parameter data and the second parameter data, and use the model of latency effects 126 to compensate for latency-based differences in the first parameter data and the second parameter data.
  • the computer program product further includes logic instructions stored in a tangible computer-readable medium coupled to the processor 222 which, when executed by the processor 222, configure the processor 222 to calculate a latency compensation adjustment parameter for at least one of the first parameter data or the second parameter data, and apply the latency compensation adjustment parameter to at least one of the first parameter data or the second parameter data.
  • the computer program product may further include logic instructions stored in a tangible computer-readable medium coupled to a processor 222 in a receiver which receives the content stream which, when executed by the processor 222, configure the processor 222 to determine, in the combining filter 140, a combined parameter data from the first parameter data and the second parameter data.
  • the computer program product may further include logic instructions stored in a tangible computer-readable medium coupled to the processor 222 which, when executed by the processor 222, configure the processor 222 to determine, in the combining filter 140, an estimate of the latency compensation adjustment parameter, and provide the estimate of the latency compensation adjustment parameter as feedback to the model of latency effects 126.
  • the computer program product may further include logic instructions stored in a tangible computer-readable medium coupled to a processor 222 in a receiver which receives the content stream which, when executed by the processor 222, configure the processor 222 to generate, in the combining filter 140, an output which corresponds to the combined parameter data.
  • the computer program product may further include wherein constructing a model of latency effects 126 on the first parameter data and the second parameter data comprises compensating for position-based differences in motion over time between the first sensor 120a and the second sensor 120b.
  • the computer program product includes wherein the first sensor 120a includes an inertial measuring system, the second sensor 120b comprises a global positioning system GPS based measuring system, and further including logic instructions stored in a tangible computer-readable medium coupled to the processor 222 which, when executed by the processor 222, configure the processor 222 to compensate for time-based differences in motion over time between the first sensor 120a and the second sensor 120b.
  • the subject matter described herein relates to techniques to compensate for latency in systems which model real world events by combining inputs from multiple sensors which measure different parameters.
  • the sensor parameters may be combined in a filter, e.g., a complementary filter or a Kalman filter.
  • filters are designed to form an estimate of measurement error a relative bias estimate, which may be used as a correction for a measurement error, such as a bias, on one of the data sources.
  • Various events may introduce latency between the parameters sensed by different sensors. A difference in latency for the input data sources to such filters can cause unwanted perturbations of the filter outputs, which may corrupt the relative bias estimate generated by the filter.
  • the latency may be compensated by constructing a model of latency effects on the various sensors and using the model to calculate a latency compensation value for at least one of the parameters.
  • the latency compensation value may then be applied to the parameter(s) to compensate for differences in latency between multiple sensors.
  • the latency compensation system may receive feedback in the form of a latency estimate which may be used to update the model, such that the model may be refined over time with use in the real world.
  • Various embodiments may be implemented in the context of automatic landing systems for aircraft.
  • some aircraft include autopilot systems which include complementary filters which blend position inputs from GPS based sensors and gyroscopic or inertial based sensors located throughout the aircraft. When the aircraft is flying in a straight line the outputs of these sensors may be substantially coherent. However, when the aircraft maneuvers latency may be introduced into the outputs of one or more of the sensors, e.g., due to differences in position in the sensors on air aircraft or due to time differences in sampling rates.
  • the systems and methods described herein enable autopilot systems to compensate for the errors introduced by latency in the sensors.
  • the systems and methods described herein may be implemented in an inertial navigation unit or a multi-mode receiver which blends GPS position data with inertial data.
  • Fig. 1 is a schematic illustration of a system 100 for latency compensation according to embodiments.
  • a system under observation 110 may include a plurality of sensors including a first sensor 120a and a second sensor 120b which detect different parameters related to the same characteristic. Further, the system under observation 110 may include additional sensors 122 which detect different parameters related to different characteristics.
  • the system under observation 110 may be an aircraft.
  • the first sensor 120a may be a GPS based sensor and the second sensor 120b may be an inertial based sensor.
  • Sensors 120a and 120b may be components of an automatic pilot system such as a GPS based landing system augmented with an inertial reference unit as described in U.S. Patent No. 7,962,255 to Krogh, et al , the disclosure of which is incorporated herein by reference in its entirety.
  • Additional sensors 122 may include sensors which detect other parameters of the aircraft, e.g., ground speed, orientation, cross-runway velocity, and the like.
  • the system 100 further includes a model of latency effects 126, a latency compensation calculator 128, a combining filter 140, and a latency estimate updater 142.
  • the combining filter 140 may be implemented as a complementary filter, Kalman filter, Wiener filter, maximum likelihood estimator or other data fusion or estimation algorithm; the combining filter generates a filtered parameter output 150 and a sensor error estimate 152.
  • the combining filter may be implemented as discrete logic components as described in U.S. Patent No. 6,549,829 to Anderson, et al ., the disclosure of which is incorporated herein by reference in its entirety.
  • the latency compensation calculator 128 and the summer 130 may be incorporated into a Kalman filter, with the amount of latency incorporated as a Kalman state.
  • system 200 may include one or more accompanying input/output devices including a display 202 having a screen 204, one or more speakers 206, a keyboard 210, one or more other I/O device(s) 212, and a mouse 214.
  • the other I/O device(s) 212 may include a touch screen, a voice-activated input device, a track ball, and any other device that allows the system 200 to receive input from a user.
  • the computing system 200 includes system hardware 220 and memory 230, which may be implemented as random access memory and/or read-only memory.
  • a file store 280 may be communicatively coupled to system 200.
  • File store 280 may be internal to computing system 200 such as, e.g., one or more hard drives, CD-ROM drives, DVD-ROM drives, or other types of storage devices.
  • File store 280 may also be external to computer system 200 such as, e.g., one or more external hard drives, network attached storage, or a separate storage network.
  • System hardware 220 may include one or more processors 222, one or more graphics processors 224, network interfaces 226, and bus structures 228.
  • processors means any type of computational element, such as but not limited to, a microprocessor, a microcontroller, a complex instruction set computing (CISC) microprocessor, a reduced instruction set (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, or any other type of processor or processing circuit.
  • CISC complex instruction set computing
  • RISC reduced instruction set
  • VLIW very long instruction word
  • Graphics processor(s) 224 may function as adjunct processors that manages graphics and/or video operations. Graphics processor(s) 224 may be integrated onto the motherboard of computing system 200 or may be coupled via an expansion slot on the motherboard.
  • network interface 226 could be a wired interface such as an Ethernet interface (see, e.g., Institute of Electrical and Electronics Engineers/IEEE 802.3-2002) or a wireless interface such as an IEEE 802.11a, b or g-compliant interface (see, e.g., IEEE Standard for IT-Telecommunications and information exchange between systems LAN/MAN--Part II: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications Amendment 4: Further Higher Data Rate Extension in the 2.4 GHz Band, 802.11G-2003).
  • GPRS general packet radio service
  • Bus structures 228 connect various components of system hardware 228.
  • bus structures 228 may be one or more of several types of bus structure(s) including a memory bus, a peripheral bus or external bus, and/or a local bus using any variety of available bus architectures including, but not limited to, 11-bit bus, Industrial Standard Architecture (ISA), Micro-Channel Architecture (MSA), Extended ISA (EISA), Intelligent Drive Electronics (IDE), VESA Local Bus (VLB), Peripheral Component Interconnect (PCI), Universal Serial Bus (USB), Advanced Graphics Port (AGP), Personal Computer Memory Card International Association bus (PCMCIA), and Small Computer Systems Interface (SCSI).
  • ISA Industrial Standard Architecture
  • MSA Micro-Channel Architecture
  • EISA Extended ISA
  • IDE Intelligent Drive Electronics
  • VLB VESA Local Bus
  • PCI Peripheral Component Interconnect
  • USB Universal Serial Bus
  • AGP Advanced Graphics Port
  • PCMCIA Personal Computer Memory Card International Association bus
  • SCSI Small Computer Systems Interface
  • Memory 230 may include an operating system 240 for managing operations of computing device 208.
  • operating system 240 includes a hardware interface module 254 that provides an interface to system hardware 220.
  • operating system 240 may include a file system 250 that manages files used in the operation of computing device 208 and a process control subsystem 252 that manages processes executing on computing device 208.
  • Operating system 240 may include (or manage) one or more communication interfaces that may operate in conjunction with system hardware 220 to transceive data packets and/or data streams from a remote source. Operating system 240 may further include a system call interface module 242 that provides an interface between the operating system 240 and one or more application modules resident in memory 230. Operating system 240 may be embodied as a Windows® brand operating system or as a UNIX operating system or any derivative thereof (e.g., Linux, Solaris, etc.), or other operating systems.
  • memory 230 includes an estimation module 260 which may include logic instructions encoded in a tangible computer-readable medium which, when executed by processor 222, cause the processor 222 to implement estimation operations.
  • the latency compensation module 262 may include logic instructions encoded in a tangible computer-readable medium which, when executed by processor 222, cause the processor 222 to implement latency compensation operations.
  • the estimation module 260 corresponds to the components in the dashed box indicated as an estimation module
  • the latency compensation module 262 may correspond to the correspond to the components in the dashed box indicated as a latency compensation module. In practice the two modules may be separate or may be combined into a single, integrated piece of software.
  • Fig. 3 is a flowchart illustrating operations in a method for latency compensation according to embodiments.
  • inputs are received from sensors 120a, 120b, and from additional sensors 122.
  • the input from sensor 120a may correspond to a GPS based position signal
  • the input from sensor 120b may correspond to an input from an inertial reference unit.
  • additional system status inputs are received from additional sensors 122.
  • the additional inputs may include other parameters of the aircraft, e.g., ground speed, orientation, cross-runway velocity, and the like.
  • a latency model is applied to calculate a latency compensation value for at least one of the outputs from sensors 120a or 120b.
  • the outputs from additional sensors 122 are input into a model of latency effects 126, which in turn feeds a latency compensation calculator 128.
  • the model of latency effects 126 and latency compensation calculator 128 may implement operations which determine a latency compensation factor for cross-runway velocity.
  • vel_xrwy does not vary over time. If there is only a small difference in latency of GPS vs. inertial information, the combining filter 140 can still perform its intended function. The value of vel_xrwy will fluctuate in turbulence, but that fluctuation will average out over time.
  • the situation changes during a capture maneuver in which the aircraft turns from an intercept heading to follow an extension of the runway centerline.
  • the cross-runway velocity will be trending toward zero for a long period. If, for example, the GPS data have a greater latency than the inertial information, there will be an apparent difference between the cross-runway velocities derived from the two sources.
  • the combining filter 140 erroneously interprets this difference as a velocity bias.
  • vel_xrwy_bias delay_kt * vel_xrwy_dot
  • delay_kt the size of the relative latency
  • vel_xrwy_dot the rate of change of the cross-runway velocity.
  • vel_xrwy_bias delay_kt * Vgnd_dot * sin psi_int + Vgnd * psi_int_dot * cos psi_int
  • the latency compensation calculator calculates the results of equation [4] and applies them (operation 325) as a latency compensation to the inertial cross-runway velocity upstream of the combining filter 140 by way of summer 130.
  • the inputs from sensors 120a, 120b are applied to the combining filter 140.
  • the latency compensation factor allows the combining filter 140 to perform its intended function through the turn of the aircraft without a disturbance to its output or corruption of its velocity bias estimate.
  • the latency estimate is updated and is provided as feedback to the model of latency effects 126.
  • the latency compensation module is adaptive in the sense that it incorporates feedback from the current state of the combining filter 140 into the model 126.
  • the combining filter 140 generates an output from the combined parameters.
  • the output may be provided to a control system such as, e.g., an autopilot system for an aircraft, which may implement one or more control routines based on the output.
  • the combining filter 140 generates an estimate of one or more sensor error characteristics.
  • the structures depicted in Figs. 1-2 and the operations depicted in Fig. 3 enable latency compensation to be implemented in a control system which uses a combining filter to combine inputs form disparate sensors.
  • Such structures and methods may find utility in, e.g., automated control systems for aircraft.
  • the acts described may be implemented by a computer, controller, processor, programmable device, firmware, or any other suitable device, and may be based on instructions stored on one or more computer-readable media or otherwise stored or programmed into such devices (e.g. including transmitting computer-readable instructions in real time to such devices).
  • the acts described above may represent computer instructions that, when executed by one or more processors, perform the recited operations.
  • the computer-readable media can be any available media that can be accessed by a device to implement the instructions stored thereon.

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  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)
  • Navigation (AREA)
  • Feedback Control In General (AREA)
  • Complex Calculations (AREA)
  • Image Processing (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
EP13171063.4A 2012-06-15 2013-06-07 Ausgleich von Latenzzeit Active EP2674781B1 (de)

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US13/524,084 US8996598B2 (en) 2012-06-15 2012-06-15 Latency compensation

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EP2674781A2 true EP2674781A2 (de) 2013-12-18
EP2674781A3 EP2674781A3 (de) 2014-06-18
EP2674781B1 EP2674781B1 (de) 2019-04-10

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EP (1) EP2674781B1 (de)
JP (1) JP6465539B2 (de)
CN (1) CN103514316B (de)
BR (1) BR102013015045B1 (de)
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EP2674781B1 (de) 2019-04-10
US8996598B2 (en) 2015-03-31
US20130339415A1 (en) 2013-12-19
EP2674781A3 (de) 2014-06-18
CN103514316B (zh) 2018-12-11
CN103514316A (zh) 2014-01-15
CA2811756A1 (en) 2013-12-15
RU2013127127A (ru) 2014-12-20
CA2811756C (en) 2015-12-29
JP6465539B2 (ja) 2019-02-06
RU2633034C2 (ru) 2017-10-11
BR102013015045A2 (pt) 2015-06-23
JP2014002147A (ja) 2014-01-09

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